A research team led by Professor Wang Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a Global-Local Alignment Attention (GLAA) model based on an Asymmetric Siamese Transformer (AST), which markedly enhances the performance of Visible-X-ray cross-modality package re-identification tasks.
Researchers advance cross-modality smart security with transformer model
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HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
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AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
